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Stephen J. McErlain

Publications -  18
Citations -  625

Stephen J. McErlain is an academic researcher. The author has contributed to research in topics: Data compression & Secure transmission. The author has an hindex of 7, co-authored 18 publications receiving 625 citations.

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Patent

Systems and Methods for Accelerated Loading of Operating Systems and Application Programs

TL;DR: In this article, the authors present a method for providing accelerated loading of operating system and application programs upon system boot or application launch, which consists of: maintaining a list of boot data associated with an application program, preloading the application data upon launching the application program; and servicing requests for application data from a computer system using the preloaded boot data.
Patent

System and method for data feed acceleration and encryption

TL;DR: In this paper, the authors present a system for providing accelerated transmission of broadcast data, such as financial data and news feeds, over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency associated with data transmission of conventional systems.
Patent

Bandwidth sensitive data compression and decompression

TL;DR: In this paper, a controller tracks and monitors the throughput (data storage and retrieval) of a data compression system and generates control signals to enable/disable different compression algorithms when, e.g., a bottleneck occurs so as to increase the throughput and eliminate the bottleneck.
Patent

Methods for encoding and decoding data

TL;DR: In this article, the transmission of broadcast data, such as financial data and news feeds, is accelerated over a communication channel using data compression and decompression to provide secure transmission and transparent multiplication of communication bandwidth, as well as reduce the latency.
Patent

Data management systems and methods using compression

TL;DR: In this article, the authors present a set of systems and methods for providing fast and efficient data compression using a combination of content dependent, content estimation, and content independent data compression.